Methods and systems for optimized parameter selection in automated license plate recognition

Active Publication Date: 2013-11-07
CONDUENT BUSINESS SERVICES LLC
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  • Summary
  • Abstract
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Benefits of technology

[0013]Generally, the best score obtained is associated with the segmented license plate characters that are optimized for character

Problems solved by technology

However, the captured images of vehicle license plates are not always optimal for character recognition.
Additional factors, such as shadow and state license plate logos, can further slow or prevent the character recognition by hindering various ALPR sub-processes, su

Method used

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  • Methods and systems for optimized parameter selection in automated license plate recognition
  • Methods and systems for optimized parameter selection in automated license plate recognition
  • Methods and systems for optimized parameter selection in automated license plate recognition

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Embodiment Construction

[0020]The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar parts. While several exemplary embodiments and features of the present disclosure are described herein, modifications, adaptations, and other implementations are possible, without departing from the spirit and scope of the present disclosure. Accordingly, the following detailed description does not limit the present disclosure. Instead, the proper scope of the disclosure is defined by the appended claims.

[0021]FIG. 1 is a diagram depicting exemplary images of a license plate before and after binarization, consistent with certain disclosed embodiments. As depicted in FIG. 1, captured license plate image 100 can be a captured image of a license plate with characters XJO 398 captured by an image recording device, such as a traffic camera. Characters XJO 398 can be a solid color,...

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Abstract

A system and method for automatically recognizing license plate information, the method comprising receiving an image of a license plate, and generating a plurality of image processing data sets, wherein each image processing data set of the plurality of image processing data sets is associated with a score of a plurality of scores by a scoring process comprising determining one or more image processing parameters, generating the image processing data set by processing the image using the one or more image processing parameters, generating the score based on the image processing data, and associating the image processing data set with the score.

Description

TECHNICAL FIELD[0001]The present disclosure relates generally to methods, systems, and computer-readable media for automated license plate character recognition.BACKGROUND[0002]Automated license plate recognition (hereinafter, “ALPR”) generally refers to an automated process for applying optical character recognition (hereinafter, “OCR”) techniques to images captured by traffic cameras to recognize vehicle license plate information.[0003]ALPR technology is useful for law enforcement and other purposes, allowing for mass surveillance of vehicle traffic for a variety purposes at very low personnel costs. ALPR technology can be utilized concurrently with a variety of law enforcement procedures, such as techniques for determining vehicle speed, monitoring traffic signals, electronic toll collection, and individual vehicle surveillance.[0004]ALPR methods can involve three steps. The first step can be determining the location of the license plate in the image (hereinafter, “plate localiza...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V20/63G06V20/625
Inventor BURRY, AARON MICHAELZHAO, YONGHUIKOZITSKY, VLADIMIR
Owner CONDUENT BUSINESS SERVICES LLC
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